The results show that the rootmeansquareerror(RMSE) of the control points obtained by the workflow is lower than 0.5 pixels.
结果表明,使用该方法选取的控制点均方根误差(RMSE)可以控制在0.5个像素以内。
2
The results of the test data indicate that the prediction system is reliable and the root of meansquareerror (RMSE) is about 15%.
对测试数据的预测 结果表明,该预测系统能够可靠工作,预测结果的均方根 误差在 15%左右。
3
Results show that the RBFNN is obviously superior to the traditional linear model, and its MAE (mean absolute error) and RMSE (rootmeansquareerror) are 41.8 and 55.7, respectively.